{"id":"W6943311245","doi":"10.15468/dl.p64scw","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009379556,0.001961208,0.001495286,0.004631578,0.000983984,0.002446643,0.002608599,0.001915581,0.153878],"category_scores_gemma":[0.00603277,0.0008694677,0.0012029,0.009274232,0.0004230502,0.002195074,0.002434719,0.001789598,0.2085726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437154,"about_ca_system_score_gemma":0.002223327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944963,"about_ca_topic_score_gemma":0.03140232,"domain_scores_codex":[0.9989465,0.0001460489,0.0001345065,0.0003804629,0.0002192947,0.0001731016],"domain_scores_gemma":[0.9976757,0.0006639015,0.000214798,0.0005911632,0.0005987983,0.0002555786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003346171,0.00001205006,0.0004289623,0.0005407607,0.0000143183,0.00001473195,0.0000206222,0.0001338927,0.0001226715,0.0003591643,0.9967611,0.001558238],"study_design_scores_gemma":[0.00007665557,0.00001071013,0.001985812,0.0001922652,0.00001504075,0.00003759525,0.00006911654,0.000167566,0.000198095,0.0008093924,0.9964191,0.00001865583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004998378,0.00002851148,0.00004396417,0.00003563028,0.00001328269,0.000005361754,0.998794,0.0003815072,0.000647834],"genre_scores_gemma":[0.0001704881,0.00003364469,0.0001976937,0.00004600457,0.000003752973,0.00004209563,0.9989009,0.0001362675,0.0004691595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846122,"threshold_uncertainty_score":0.5147732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}